The writing
The essays behind the practice.
The Why Change Fails series makes the argument in six papers: transformations fail in predictable ways, and they can be designed to hold. The applied essays take that argument into specific rooms, from AI deployments to revenue organizations.
Start with the problem
What are you seeing?
- The AI program worked as a pilot and is stuck before scale Why AI projects fail Why AI agents fail in production
- The transformation has stalled Why transformations fail Designed to stall
- It launched, and it didn’t stick How to sustain change after launch How to make change stick
- The dashboard is green and the results aren’t Watermelon metrics
- AI governance isn’t delivering AI governance challenges
- The sales win rate won’t move What your sales win rate is hiding
- You are weighing a leadership role Questions to ask before accepting the role
The series
Why Change Fails
The series carries the spine of the argument: designing against the five breakpoints, closing the stewardship gap, reading what AI deployments reveal, and becoming the leader the work requires. Read the papers in order.
- Paper 1 The Five Breakpoints Leaders Miss in Transformation Why transformations fail: five predictable breakpoints, and how to spot each one early.
- Paper 2 The Stewardship Gap How to sustain change after launch, when keeping it alive is nobody’s job.
- Paper 3 Designed to Stall Why a stalled transformation is usually designed that way, and how to see it before it is built in.
- Paper 4 The AI Mirror Why AI projects fail: what the deployment reveals about the organization around it.
- Paper 5 Before It Breaks How to make change stick, decided before the launch rather than after the stall.
- Paper 6 The Leader the Work Requires Leading transformational change: what the leader believes, and whether they act on it when it costs something.
The Work in Practice
The argument, in specific rooms
These essays take the argument into the quarter: AI agents and forward deployment, win rates and good-enough traps, and the altitude that decides what governance can deliver.
- Your AI Agent Won’t Save You Why AI agents fail in production, before the technology gets the blame.
- The Win Rate Illusion What your sales win rate is hiding, before and after the signature.
- The Flaw in Forward Deployment Why the forward deployed engineer model solves the wrong problem for enterprise AI.
- The Altitude Problem AI governance challenges start upstream of governance.
- When Good Enough Isn’t Watermelon metrics: green on the dashboard, red underneath.
The Work at a Personal Level
The lens, turned around
The same diagnostics work in the other direction: how a leader reads the organization that wants to hire them.